Mathematical morphology applied to shadows and clouds detection in high resolution images
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/11819 |
Resumo: | The spatial resolution improvement of orbital sensors has broadened considerablythe applicability of their images in solving urban areas problems. But as the spatialresolution improves, the shadows become even a more serious problem especiallywhen detailed information (under the shadows) is required. Besides those shadowscaused by buildings and houses, clouds projected shadows are likely to occur. Inthis case there is information occlusion by the cloud in association with lowillumination and contrast areas caused by the cloud shadow on the ground. Thus,it’s important to use efficient methods to detect shadows and clouds areas in digitalimages taking in count that these areas care for especial processing. This paperproposes the application of Mathematical Morphology (MM) in shadow and cloudsdetection. Two parts of a panchromatic QuickBird image of Cuiabá-MT urban areawere used. The proposed method takes advantage of the fact that shadows (lowintensity – dark areas) and clouds (high intensity – bright areas) represent thebottom and top, respectively, of the image as it is thought to be a topographicsurface. This characteristic allowed MM area opening and closing operations to beapplied to reduce or eliminate the bottom and top of the topographic surface. |
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Mathematical morphology applied to shadows and clouds detection in high resolution imagesMORFOLOGIA MATEMÁTICA APLICADA À DETECÇÃO DE SOMBRAS E NUVENS EM IMAGENS DE ALTA RESOLUÇÃOMorfologia Matemática; Detecção de Sombras; Detecção de Nuvens; Imagem de Alta Resolução; Mathematical Morphology; Shadows detection; Cloud Detection; High Resolution ImageryThe spatial resolution improvement of orbital sensors has broadened considerablythe applicability of their images in solving urban areas problems. But as the spatialresolution improves, the shadows become even a more serious problem especiallywhen detailed information (under the shadows) is required. Besides those shadowscaused by buildings and houses, clouds projected shadows are likely to occur. Inthis case there is information occlusion by the cloud in association with lowillumination and contrast areas caused by the cloud shadow on the ground. Thus,it’s important to use efficient methods to detect shadows and clouds areas in digitalimages taking in count that these areas care for especial processing. This paperproposes the application of Mathematical Morphology (MM) in shadow and cloudsdetection. Two parts of a panchromatic QuickBird image of Cuiabá-MT urban areawere used. The proposed method takes advantage of the fact that shadows (lowintensity – dark areas) and clouds (high intensity – bright areas) represent thebottom and top, respectively, of the image as it is thought to be a topographicsurface. This characteristic allowed MM area opening and closing operations to beapplied to reduce or eliminate the bottom and top of the topographic surface.A evolução da resolução espacial dos sensores orbitais aumentouconsideravelmente a aplicação de suas imagens na solução de problemas em áreasurbanas, mas, com o incremento da resolução espacial, a presença de sombras setorna um problema grave à medida que informações detalhadas da cena (sobsombras) sejam necessárias. Além das sombras inerentes ás feições do terreno,sombras projetadas por nuvens podem ocorrer. Nesse caso, além das áreas de baixailuminação e contraste causadas pela projeção da sombra sobre a superfície, hátambém a oclusão de informações por parte da nuvem. Portanto é importante o usode métodos eficientes que detectem as sombras e nuvens em imagens digitais tendoem vista que estas áreas necessitam de processamentos especiais. Este trabalhopropõe a utilização de Morfologia Matemática (MM) na execução dessa tarefa.Duas seções de uma imagem QuickBird pancromática da área urbana da cidade deCuiabá-MT foram adotadas como áreas de estudo. O método proposto tiravantagem do fato de as sombras e nuvens representarem vales e picos deintensidade na imagem quando esta é representada como uma superfícietopográfica. Aproveitando-se dessa característica, operações de abertura efechamento de área foram aplicadas para reduzir ou eliminar, respectivamente, picos e vales.Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2008-07-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/11819Boletim de Ciências Geodésicas; Vol 14, No 2 (2008)Bulletin of Geodetic Sciences; Vol 14, No 2 (2008)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/11819/8330Statella, ThiagoSilva, Erivaldo Antônio dainfo:eu-repo/semantics/openAccess2008-10-08T14:15:31Zoai:revistas.ufpr.br:article/11819Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2008-10-08T14:15:31Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
Mathematical morphology applied to shadows and clouds detection in high resolution images MORFOLOGIA MATEMÁTICA APLICADA À DETECÇÃO DE SOMBRAS E NUVENS EM IMAGENS DE ALTA RESOLUÇÃO |
title |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
spellingShingle |
Mathematical morphology applied to shadows and clouds detection in high resolution images Statella, Thiago Morfologia Matemática; Detecção de Sombras; Detecção de Nuvens; Imagem de Alta Resolução; Mathematical Morphology; Shadows detection; Cloud Detection; High Resolution Imagery |
title_short |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
title_full |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
title_fullStr |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
title_full_unstemmed |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
title_sort |
Mathematical morphology applied to shadows and clouds detection in high resolution images |
author |
Statella, Thiago |
author_facet |
Statella, Thiago Silva, Erivaldo Antônio da |
author_role |
author |
author2 |
Silva, Erivaldo Antônio da |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Statella, Thiago Silva, Erivaldo Antônio da |
dc.subject.por.fl_str_mv |
Morfologia Matemática; Detecção de Sombras; Detecção de Nuvens; Imagem de Alta Resolução; Mathematical Morphology; Shadows detection; Cloud Detection; High Resolution Imagery |
topic |
Morfologia Matemática; Detecção de Sombras; Detecção de Nuvens; Imagem de Alta Resolução; Mathematical Morphology; Shadows detection; Cloud Detection; High Resolution Imagery |
description |
The spatial resolution improvement of orbital sensors has broadened considerablythe applicability of their images in solving urban areas problems. But as the spatialresolution improves, the shadows become even a more serious problem especiallywhen detailed information (under the shadows) is required. Besides those shadowscaused by buildings and houses, clouds projected shadows are likely to occur. Inthis case there is information occlusion by the cloud in association with lowillumination and contrast areas caused by the cloud shadow on the ground. Thus,it’s important to use efficient methods to detect shadows and clouds areas in digitalimages taking in count that these areas care for especial processing. This paperproposes the application of Mathematical Morphology (MM) in shadow and cloudsdetection. Two parts of a panchromatic QuickBird image of Cuiabá-MT urban areawere used. The proposed method takes advantage of the fact that shadows (lowintensity – dark areas) and clouds (high intensity – bright areas) represent thebottom and top, respectively, of the image as it is thought to be a topographicsurface. This characteristic allowed MM area opening and closing operations to beapplied to reduce or eliminate the bottom and top of the topographic surface. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-07-18 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/11819 |
url |
https://revistas.ufpr.br/bcg/article/view/11819 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/11819/8330 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
dc.source.none.fl_str_mv |
Boletim de Ciências Geodésicas; Vol 14, No 2 (2008) Bulletin of Geodetic Sciences; Vol 14, No 2 (2008) 1982-2170 1413-4853 reponame:Boletim de Ciências Geodésicas instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Boletim de Ciências Geodésicas |
collection |
Boletim de Ciências Geodésicas |
repository.name.fl_str_mv |
Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br |
_version_ |
1799771721697329152 |